To explore the advantages of traditional Chinese medicine （TCM） and integrative TCM-Western medicine approaches in the treatment of diabetic microvascular complications （DMC）， refine key pathophysiological insights and treatment principles， and promote academic innovation and strategic research planning in the prevention and treatment of DMC. The 38th session of the Expert Salon on Diseases Responding Specifically to Traditional Chinese Medicine， hosted by the China Association of Chinese Medicine， was held in Beijing， 2024. Experts in TCM， Western medicine， and interdisciplinary fields convened to conduct a systematic discussion on the pathogenesis， diagnostic and treatment challenges， and mechanism research related to DMC， ultimately forming a consensus on key directions. Four major research recommendations were proposed. The first is addressing clinical bottlenecks in the prevention and control of DMC by optimizing TCM-based evidence evaluation systems. The second is refining TCM core pathogenesis across DMC stages and establishing corresponding "disease-pattern-time" framework. The third is innovating mechanism research strategies to facilitate a shift from holistic regulation to targeted intervention in TCM. The fourth is advancing interdisciplinary collaboration to enhance the role of TCM in new drug development， research prioritization， and guideline formulation. TCM and integrative approaches offer distinct advantages in managing DMC. With a focus on the diseases responding specifically to TCM， strengthening evidence-based support and mechanism interpretation and promoting the integration of clinical care and research innovation will provide strong momentum for the modernization of TCM and the advancement of national health strategies.

Objective To understand the disease spectrum of a natural village in an area with high incidence of esophageal cancer to provide a reference for precise prevention and control. Methods From 2008 to 2024, 711 asymptomatic people over the age of 35 years in a natural village with high incidence of esophageal cancer in China were surveyed, and 171 of them were subjected to gastroscopy, biopsy, and pathological examination. All participants were followed up for a long time, and their disease history was recorded. Results A total of 16 years of follow-up were performed, and 703 people were effectively followed up. In 2008, 171 people underwent gastroscopy, and 160 people had biopsy and pathological results in endoscopic screening. By 2024, 76 people had been diagnosed with malignant tumors of 12 different types, and among these people, 45 had esophageal cancer. Conclusion Esophageal cancer remains a significant cause of morbidity and mortality from malignant tumors in this region. Biopsy and pathological examination should be strengthened during gastroscopy, and follow-ups and regular check-ups should be given high importance to reduce the incidence and mortality rates of esophageal cancer.

[This corrects the article DOI: 10.1016/j.apsb.2024.03.030.].

Objective To investigate the screening results and factors affecting abnormal detection rates among high-risk groups of esophageal cancer and to explore effective intervention measures. Methods We investigated and collected the information on gender, education level, age, marital status, symptoms of reflux esophagitis (heartburn, acid reflux, belching, hiccup, foreign body sensation in the pharynx, and difficulty swallowing), consumption of pickled vegetables, salt use, and esophageal cancer incidence of villagers in a natural village in Wenfeng District, Anyang City, Henan Province. Changes in reflux esophagitis symptoms in the high-incidence area of esophageal cancer before and after 16 years were observed, and the relationship of such changes with esophageal cancer was analyzed. Results In 2008, 711 cases were epidemiologically investigated, including 213 cases with one of the symptoms of reflux esophagitis such as heartburn, acid reflux, belching, hiccups, foreign body sensation in the pharynx, and difficulty swallowing (sorted in accordance with the abovementioned symptoms; if there are multiple symptoms, then the former is taken); 55 cases with at least two related symptoms, among which the most symptom was heartburn in 108 cases (15.1%); followed by acid reflux, belching, etc. In 2024, the same group of people was investigated, and eight people were missing because of relocation. A total of 703 people were successfully investigated, of which 189 cases (26.8%) had one of the symptoms of reflux esophagitis, such as heartburn (sorted in accordance with relevant symptoms, if there are multiple symptoms, then the former will be selected); 167 cases (23.7%) had at least two related symptoms, among which the most symptom was heartburn in 139 cases (19.7%); followed by acid reflux. Over 16 years, among the 703 people investigated, 45 cases had esophageal cancer and they had one or more of the abovementioned symptoms. No significant differences in the reflux esophagitis-like symptoms were found between 2008 and 2024 (P=0.26); no significant differences in the composition of reflux esophagitis-like symptoms were found between 2008 and 2024 (P=0.299). Conclusion The detection rate of reflux esophagitis-related symptoms in the population in a high-risk area of esophageal cancer has not decreased in the past 16 years, and the high-risk factors still exist. Esophageal cancer is closely related to reflux esophagitis, and clinical practice can provide early diagnosis and treatment for high-risk population.

Glutamine provides carbon and nitrogen to support the proliferation of cancer cells. However, the precise reason why cancer cells are particularly dependent on glutamine remains unclear. In this study, we report that glutamine modulates the tumor suppressor F-box and WD repeat domain-containing 7 (FBW7) to promote cancer cell proliferation and survival. Specifically, lysine 604 (K604) in the sixth of the 7 substrate-recruiting WD repeats of FBW7 undergoes glutaminylation (Gln-K604) by glutaminyl tRNA synthetase. Gln-K604 inhibits SCFFBW7-mediated degradation of c-Myc and Mcl-1, enhances glutamine utilization, and stimulates nucleotide and DNA biosynthesis through the activation of c-Myc. Additionally, Gln-K604 promotes resistance to apoptosis by activating Mcl-1. In contrast, SIRT1 deglutaminylates Gln-K604, thereby reversing its effects. Cancer cells lacking Gln-K604 exhibit overexpression of c-Myc and Mcl-1 and display resistance to chemotherapy-induced apoptosis. Silencing both c-MYC and MCL-1 in these cells sensitizes them to chemotherapy. These findings indicate that the glutamine-mediated signal via Gln-K604 is a key driver of cancer progression and suggest potential strategies for targeted cancer therapies based on varying Gln-K604 status.
Glutamine/metabolism* ; Myeloid Cell Leukemia Sequence 1 Protein/genetics* ; Humans ; Proto-Oncogene Proteins c-myc/genetics* ; Cell Proliferation ; Signal Transduction ; Neoplasms/pathology* ; F-Box-WD Repeat-Containing Protein 7/genetics* ; Cell Survival ; Cell Line, Tumor ; Apoptosis

Objective To construct an innovative CNN-Transformer dual-stream parallel network architecture integrating clinical data and imaging features for improving the predictive accuracy of pectoralis major myofascial metastasis in breast cancer,and to optimize the model performance by screening the optimal feature subset through genetic algorithm.Methods The proposed architecture concurrently processed clinical records and imaging data,including physical characteristics such as resolution,contrast,grayscale distribution,and texture features to identify their latent correlations.Meanwhile,genetic algorithms were employed to remove redundant features while retaining the most clinically and physically relevant features for pectoralis major myofascial metastasis prediction.Results The CNN-Transformer model that integrated imaging and clinical features showed superior performance across all evaluation metrics such as weighted F1 score and AUCROC,outperforming models relying only on imaging or clinical data.Conclusion The proposed dual-stream parallel network architecture combined with feature selection strategy significantly enhances the predictive accuracy of pectoralis major myofascial metastasis in breast cancer,and demonstrates the critical role of imaging features in improving model performance.

Objective To explore the feasibility and corresponding implementation methods of constructing a sample resource bank based on individual-level data of completed clinical trials and using it to construct external controls for drug/device clinical trials.Methods Taking the pre-marketing clinical trial of transcatheter active valve replacement(TAVR)for the treatment of aortic valve stenosis as an example,the individual-level databases of multiple trials were standardized to form a sample bank.The original data of any trial in the sample bank were selected as the experimental group,and the remaining samples were selected as the control group.The potential confounding was handled by using the propensity score matching and stratification methods to clarify the process of constructing external controls based on the sample bank of individual-level data of clinical trials.Results This study included individual-level data of single-group trials of 4 TAVR devices,with a total of 569 subjects(59.2%male).The number of subjects in Trials 1 to 4 was 120,120,163,and 166,respectively.Propensity score matching enabled the matching of 113,117,125,and 147 subjects with comparable or similar characteristics from individual-level data from other trials,respectively,demonstrating a high matching success rate.The PS score distribution plot after stratification showed that the proportions of subjects in the experimental and control groups in strata 1 to 5 in scheme 1 were 4/103,11/103,22/92,32/87,and 51/64,respectively.For all constructed external controlled trials,a certain number of control samples with similar baseline characteristics to the experimental groups were distributed within each propensity score stratum.The results of the simulation test also reflected the potential differences between different devices in the 12-month all-cause mortality rate.Conclusions The sample bank constructed with individual-level data from clinical trials,as a high-quality data source,can serve as a source of external control for single-arm trials in the same field,and as a useful supplement to the external control scenario of real-world evidence to support drug and device development.At the same time,targeted research on research methods and bias control measures in related fields is also needed.

Purpose To investigate the correlation between two autophagy-related proteins,JMY and WHAMM,and autophagic dysfunction and prognosis in gliomas.Methods A total of 113 cases of diffuse gliomas and 14 control brain tissues were collected.The expression of JMY,WHAMM,and autophagy-related markers were evaluated using the EnVision two-step method of immunohistochemistry.Correlations between the expression of JMY and WHAMM and clinicopathological features,prognosis,and autophagy markers were analyzed.Results The high expression rates of JMY and WHAMM in control brain tissue were significantly higher than those in diffuse gliomas.The expressions of JMY and WHAMM were associated with pathological grade and age.Compared with low-grade gliomas(LGG),high-grade gliomas(HGG)showed significantly lower high-expression rates of JMY and WHAMM.Patients with low expres-sion of JMY and WHAMM had shorter overall survival than those with high expression.Cox regression analysis indica-ted that the high pathological grade and low expression of JMY were independent prognostic risk factors.The expression profiles of autophagy markers suggested reduced autophagic activity in HGGs,and JMY expression was positively corre-lated with autophagy markers.Conclusion The high expression rates of JMY and WHAMM are significantly lower in HGGs compared to LGGs.JMY and WHAMM may serve as potential molecular markers for the prognostic evaluation of diffuse gliomas.

BackgroundChildhood represents a critical stage for cognitive development. Accurate assessment of children's cognitive abilities and understanding their developmental characteristics are essential for promoting healthy growth. However， traditional cognitive assessment methods typically rely on manual administration， presenting limitations such as low efficiency and insufficient engagement. These methods struggle to meet the assessment needs of children and are difficult to scale up for large-scale applications. ObjectiveTo develop a digital cognitive assessment tool for children， so as to provide a more convenient approach for evaluating children's cognitive functions. MethodsBased on classic psychological paradigms （Stroop Task， N-back， digit span， spatial orientation， and face-name matching）， a digital cognitive assessment tool was developed. This tool includes five tasks including color matching， shape matching， greening the home， great collector， and face-name matching， designed to assess core cognitive functions such as inhibitory control， working memory， short-term memory， spatial orientation， and semantic processing， respectively. From August 2024 to March 2025， a total of 750 students aged 9–12 yeas old from a primary school in Chengdu were enrolled and assessed using the digital cognitive assessment tool. Three months later， 40 children were randomly selected for retesting using both the digital tool and its corresponding standardized psychological paradigms. Pearson correlation analysis was conducted to examine the correlation between the pre-test and retest scores of the digital cognitive assessment tool， as well as the correlation between the digital cognitive task scores and the corresponding psychological paradigm assessment results， in order to evaluate the reliability and validity of the digital cognitive assessment tool. Additionally， differences in scores across the cognitive tasks were compared among children of different age groups and genders. ResultsA total of 699 valid samples were included. The younger age group consisted of children aged 9–10 years old （n=460）， while the older age group comprised those aged 11–12 years old （n=239）. There were 356 boys （50.93%） and 343 girls （49.07%）. In the reliability analysis， the Pearson correlation coefficients between the pre-test and retest scores of each assessment task ranged from 0.732 to 0.970 （P<0.01）， indicating statistically significant results. In the validity analysis， the Pearson correlation coefficients between each task and its corresponding standard cognitive test ranged from 0.679 to 0.988 （P<0.01）. In the color-matching task， both the main effects of age and gender were statistically significant （F=31.071， 21.198， P<0.01）. In the shape-matching task， the main effects of age， gender， and their interaction were all statistically significant （F=20.933， 5.926， 4.318， P<0.05 or 0.01）. In the greening the home task， the main effect of age was significant （F=5.243， P=0.023）. In the great collector task， the main effect of age was significant （F=33.697， P<0.01）. In the face-name matching task， only the main effect of gender was significant （F=27.016， P<0.01）. Further analysis showed that within the female group， older group scored significantly higher than younger group in five tasks（P<0.05 or 0.01）. Within the male group， younger group scored lower than older group in both the color-matching and great collector tasks （P<0.05 or 0.01）. Within the younger group， boys scored significantly higher than girls in color-matching and shape-matching tasks （P<0.01）. In the older group， girls scored significantly higher than boys in face-name matching task （P<0.01）. ConclusionThe digital cognitive assessment tool developed in this study demonstrates good reliability and validity. The development of cognitive functions in children aged 9–12 years old showed significant differences in age and gender， with specific developmental trajectories across different cognitive dimensions. At younger ages， boys outperformed girls in inhibitory control and working memory tasks， though this advantage diminished with age. At older ages， girls exhibited superior performance in semantic processing compared with boys.

Objective To investigate the serum amino acid levels in patients with acute schizophrenia(SCZ)and their predictive effect on the improvement of cognitive function after treatment,so as to provide new insights into the clinical intervention of cognitive impairment in SCZ patients.Methods A total of 66 patients with acute SCZ were enrolled(case group-baseline period).Among them,36 cases completed the follow-up after 3 months of standardized treatment(case group-follow-up period);52 healthy controls(HCs)were included.The MATRICS Consensus Cognitive Battery(MCCB)was used to assess the cognitive function of all the participants.Liquid chromatography-tandem mass spectrometry(LC-MS)was employed to detect the concentrations of 18 amino acids in fasting serum of the case group-baseline period and the control group.Independent samples t-test was used to compare serum amino acid levels and cognitive function between the case group-baseline period and the control group.Paired t-test was used to compare the differences in cognitive function between the baseline period and the follow-up period of the case group.Spearman correlation analysis and multivariate linear regression model were used to investigate the correlation between serum amino acid levels at baseline in the case group and the improvement of cognitive function after 3 months of treatment.Results Compared with the control group,the cognitive function of SCZ patients in multiple dimensions at baseline was significantly reduced(P＜0.05).After treatment,the scores of Trail Making Test(TMT),Brief Assessment of Cognition in Schizophrenia:Symbol Coding(BACS),Wechsler Memory Scale-Ⅲ(WMS),and Brief Visuospatial Memory Test-Revised(BVMT)in patients were significantly improved(all P＜0.05).In addition,the levels of proline,methionine,histidine,phenylalanine,arginine,tyrosine,aspartic acid,tryptophan,lysine,and glutamic acid were significantly lower in the case group at baseline than in the control group(all P＜0.05).Among them,the baseline tyrosine level had a significant predictive value for the improvement of TMT(R2=0.136,P=0.029),Neuropsychological Assessment Battery(NAB)(R2=0.339,P＜0.001),and Mayer-Salovey-Caruso Emotional Intelligence Test(MSCEIT)test(R2=0.165,P=0.015).The baseline arginine level had a significant predictive value for the improvement rate of Fluency test(R2=0.113,P=0.048).Conclusion There is a decrease in various amino acid levels in patients with SCZ,and some amino acids can effectively predict the improvement of cognitive function after treatment.